Presented By : Steven Wachs
Aired Time : Available OnDemand
Duration : 75 minutes
Learn Common Elements of Sample Size Determination and How It Impacts Design Validation Activities
Sample sizes have a significant impact on the uncertainty in estimates of key process performance characteristics. To have high confidence in results, sufficient sample sizes must be collected and analyzed through various statistical methods. You should be able to uncover potential problems during the design validation phase—before launching your product. Failure to do so may result in customer dissatisfaction, excessive warranty, costly recalls, or litigation.
Learn the secrets to sample size determination in this webinar by expert speaker Steven Wachs, and uncover potential problems in the design validation stage itself. Wachs will walk you through the common elements of sample size determination, along with specific sample size applications for various design validation activities—such as Reliability Demonstration/Estimation, Acceptance Sampling for Lot Disposition, Estimating Proportions, and Hypothesis Testing.
As a practitioner, you know how hard it can be to select an appropriate sample size. Testing only a few units does not provide a high level of confidence that performance requirements will be consistently met; and testing too many units may be unnecessarily expensive, and can lead to misleading conclusions. The numerous examples provided in this webinar to illustrate the key concepts and applications will go a long way to clear your doubts on an issue that often vexes many industry practitioners.
After attending this session, you will understand the impact of sample sizes on the results from statistical analysis methods commonly used during design validation. You will be confident in your ability to uncover potential problems during the design validation stage of product development, thereby ensuring that your product performance, quality, and reliability requirements are optimally met, and that your products perform as intended.
This session will bring you up to speed with:
- Populations, samples, data types, and basic statistics
- Common elements of sample size determination
- Design validation applications
- Sample sizes for reliability demonstration (pass/fail outcomes)
- Sample sizes for reliability estimation
- Sample sizes for estimating proportion failing (pass/fail test outcomes)
- Sample sizes for acceptance sampling / lot disposition
- Other common sample size applications (hypothesis testing, equivalence testing)
Who Should Attend
The target audience includes personnel involved in product/process development and manufacturing
- Quality personnel
- Product design/development personnel
- Manufacturing personnel
- Operations/production managers
- Production supervisors
- Supplier quality personnel
- Quality engineering
- Quality assurance managers, engineers
- Process or manufacturing engineers or managers
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About The Speaker
Steven Wachs has 25 years of wide-ranging industry experience in both technical and management positions. Steve has worked as a statistician at Ford Motor Company where he has extensive experience in the development of statistical models, reliability analysis, designed experimentation, and statistical process control.
Steve is currently a Principal Statistician at Integral Concepts, Inc. where he assists manufacturers in the application of statistical methods to reduce variation and improve quality and productivity. He also possesses expertise in the application of reliability methods to achieve robust and reliable products as well as to estimate and reduce warranty. In addition to providing consulting services, Steve regularly conducts workshops in industrial statistical methods for companies worldwide.